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Top 13 Personalization Engines SaaS Companies With $1M–$5M Revenue (September 2026)

As of September 2026, Latka tracks 13 personalization engines SaaS companies with $1M–$5M in annual revenue. They have combined revenues of $33.5M and employ 367 people. They have raised $15.3M and serve 1.6M customers combined.

Every company below sells personalization engines software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.

What Personalization Engines SaaS Companies do

Personalization engines are software tools designed to deliver customized content and experiences to users based on their individual behavior, preferences, and historical data. These engines utilize algorithms and data analytics to tailor interactions in real-time, enhancing the overall user experience. Common use cases include personalized marketing campaigns, tailored product recommendations, and customized user journeys across digital platforms. Typically, personalization engines feature capabilities such as user data collection, behavioral analysis, and integration with various marketing and customer service tools. They are primarily utilized by marketing teams, product managers, and customer experience professionals who aim to boost user engagement and conversion rates by providing targeted content and recommendations. By leveraging user data, these engines enable organizations to create more relevant and meaningful interactions with their customers.

Companies
13
Revenue
$33.5M
Funding
$15.3M
Employees
367

Filters

Sorting: Highest -> Lowest

Filters

Top Personalization Engines SaaS Companies With $1M–$5M Revenue

Showing 10 of 13 companies ranked by annual revenue.

1Gravity logo
Gravity

Santa Monica, California, United States

When we founded Gravity the vision was simple – “Let’s Personalize the Internet.” The foundation of our personalization engine is a framework we call the Interest Graph, which is the set of things you care about and how much you care about them. We generate interest graphs and apply them for personalization throughout our growing network of sites and apps. Our goal is nothing less than creating magical personalized experiences for you across the entire web. In January 2014, Aol acquired Gravity. Today, Gravity works with leading publishers and news sites, like The Huffington Post and Forbes, and top brand advertisers, like Intel and Toyota.

Revenue
$4.2M
Year founded
2009
Team size
28
2Customily logo
Customily

St. Louis, Missouri, United States

Making it easy to sell personalized products online.

Revenue
$3.5M
Year founded
2018
Team size
34
3Better Impression logo
Better Impression

Tel Aviv, Israel

Better Impression helps tens of millions of unique B2B and B2C users from around the world make better-informed decisions online. Our personalization engine learns the users’ preferences and assists them in selecting the best online services. Our advanced matching techniques use big data analysis, machine learning and innovative user targeting. We leverage these technologies to individualize suggestions to our users, allowing them to discover and connect with brands that best suit their needs. We do this in a variety of online industries such as Personal & Business Finance, Website Services, Online Dating, Insurance, SaaS and more.

Revenue
$3.2M
Customers
500
Year founded
2012
Team size
21
4XGen logo
XGen

New York, New York, United States

We create AI-first personalization tech focusing on product-cognizant learning and innovative functionality.

Revenue
$3.2M
Customers
1.6M
Year founded
2018
Funding
$7.5M
Team size
50
5Target2Sell logo
Target2Sell

Paris, France

Provider of a Saas-based predictive marketing tool designed to offer a personalized recommendation engine. The company's Saas-based predictive marketing tool offers customized product and media recommendations, custom recommendations for direct and reverse emails and custom sorting of list pages, enabling businesses to evolve continuously with flexibility and speed.

Revenue
$3M
Customers
500
Year founded
2012
Team size
18
6Triggerbee logo
Triggerbee

Sweden

Simplifies onsite personalization for e-commerce.

Revenue
$3M
Customers
150
Year founded
2014
Funding
$253.9K
Team size
19
7Junction AI logo
Junction AI

Bentonville, Arkansas, United States

Developer of an artificial intelligence platform designed to help marketers to predict the images and text for successful google ads, social posts and web promotions before launching. The company's platform matches products and services that are personalized to every customer with artificial intelligence-enhanced recommendations engine and makes data assets deliver value for loyalty marketing while unifying and harnessing all data, enabling marketers to individualize promotions for travel experiences, offers, perks and amenities to each customer.

Revenue
$2.5M
Year founded
2015
Funding
$984K
Team size
17
8Segmentify logo
Segmentify

London, England, United Kingdom

personalization platform for online retailers

Revenue
$2.3M
Customers
150
Year founded
2015
Funding
$3.3M
Team size
104
9Albatross AI logo
Albatross AI

Baar, ZG, Switzerland

The foundational AI platform for real-time personalization

Revenue
$2.2M
Year founded
2024
Funding
$3.3M
Team size
20
10Argoid AI (an Amagi company) logo
Argoid AI (an Amagi company)

San Francisco, California, United States

Argoid helps businesses deliver personalized experiences across various digital touch points with hyper-personalized recommendations. We want to enable businesses to grow their revenue with 1:1 personalization for Streaming platforms. Argoid produces the best conversion rates possible with its real-time AI driven recommendation system . At Argoid, we offer personalized content recommendations to amp-up viewer journeys. Our personalized recommendations include, Home page Recommendations, Similar Movie Recommendations, For You Recommendations, Recently Watched and more. Argoid builds a deep understanding of each viewer to auto-deliver the most relevant recommendations. Our real-time content recommendations are powered by viewers’ intent and browsing history, among a billion data points. Our team comes with a diverse and complementary skill set, dedication, and experience.We learn from each other, our customers, and follow the latest industry trends to ensure that our customers gets the best results To learn more about how you can amplify your growth with a recommendation engine, Request a demo at www.argoid.ai

Revenue
$2M
Year founded
2018
Team size
18

Frequently asked questions about Personalization Engines SaaS Companies With $1M–$5M Revenue

How many personalization engines SaaS companies with $1M–$5M in annual revenue are there?

Latka tracks 13 personalization engines SaaS companies with $1M–$5M in annual revenue. Together they generate $33.5M in annual revenue and employ 367 people.

Which personalization engines SaaS company with $1M–$5M in annual revenue is the largest?

Gravity is the largest, with $4.2M in annual revenue, founded in 2009.

How much revenue does a typical personalization engines SaaS company with $1M–$5M in annual revenue make?

The average personalization engines SaaS company in this list makes $2.6M a year, across 13 companies with reported revenue. They serve 1.6M customers combined.

Who are the leading Personalization Engines vendors with $1M–$5M in annual revenue?

Ranked by annual revenue, the leaders are Gravity, Customily, Better Impression, XGen and Target2Sell.

How much funding have personalization engines SaaS companies with $1M–$5M in annual revenue raised?

The 13 personalization engines SaaS companies with $1M–$5M in annual revenue tracked here have raised $15.3M in disclosed funding between them.

Related Marketing Software categories

Inclusion Criteria

- Must offer real-time data analysis to personalize user interactions - Should integrate with existing marketing and CRM platforms - Must provide capabilities for A/B testing and performance tracking - Should include features for user segmentation based on behavior and demographics - Not just for content delivery; must also facilitate personalized recommendations and user journey mapping